Li-Qi Zhang

Off-Policy Inverse Q-Learning Algorithm with Unobservable States

This paper investigates the output-feedback inverse reinforcement learning (IRL) problem and proposes a data-driven output-feedback off-policy inverse Q-learning algorithm that relies solely on input–output trajectory data from an expert system to address the problem of an unknown performance index in discrete-time lin...